Verified Job
IT / Software / Data Analyst
Sr Data Engineer
IT / Software / Data Analyst
#574688
Remote / WFH
Job Description
Job Name: Senior Data Engineer - IICS
Years of Experience: 5
Job Description:
We are looking for a skilled and motivated Senior Data Engineer to join our data integration and analytics team. The ideal candidate will have hands-on experience with Informatica IICS, AWS Redshift, Python scripting, and Unix/Linux systems. You will be responsible for building and maintaining scalable ETL pipelines to support business intelligence and analytics needs. A strong passion for continuous learning, problem-solving, and enabling data-driven decision-making is highly valued.
Primary Skills: Informatica IICS,AWS
Secondary Skills: Python,Unix/Linux
Role Description: We are looking for a Senior Data Engineer to lead the design, development, and management of scalable data platforms and pipelines. This role demands a strong technical foundation in data architecture, big data technologies, and database systems (both SQL and NoSQL), along with the ability to work across functional teams to deliver robust, secure, and high-performing data solutions.
Role Responsibility:
• Design, develop, and maintain end-to end data pipelines and infrastructure.
• Translate business and functional requirements into scalable, well documented technical solutions.
• Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations.
• Ensure data integrity and quality through automated validations, unit testing, and robust documentation.
• Optimize data processing performance and manage large datasets efficiently
• Collaborate closely with stakeholders and project teams to align data solutions with business objectives.
• Implement and maintain security and privacy protocols to ensure safe data handling.
• Lead development environment setup and configuration of tools and services.
• Mentor junior data engineers and contribute to continuous improvement and automation initiatives.
• Coordinate with QA and UAT teams during testing and release phases.
Role Requirement:
• Strong proficiency in SQL (including procedures, performance tuning, and analytical functions).
• Solid understanding of data warehousing concepts, including dimensional modeling and SCDs.
• Hands-on experience with scripting languages (Shell / PowerShell).
• Familiarity with Cloud and Big data technologies.
• Experience working with relational, non-relational databases, and data streaming systems.
• Proficiency in data profiling, validation, and testing practices.
• Excellent problem-solving, communication (written and verbal), and documentation skills.
• Exposure to Agile methodologies and CI/CD practices.
• Self-motivated, adaptable, and capable of working in a fast-paced environment.
Additional Requirements
Overall 5 years and 3+ years of hands-on experience with Informatica IICS (Cloud Data Integration, Application Integration).
Strong proficiency in AWS Redshift and writing complex SQL queries.
Solid programming experience in Python for scripting, data wrangling, and automation.
Experience with version control tools like Git and CI/CD workflows.
Knowledge of data modeling and data warehousing concepts.
Prior experience with data lakes and big data technologies is a plus.
Years of Experience: 5
Job Description:
We are looking for a skilled and motivated Senior Data Engineer to join our data integration and analytics team. The ideal candidate will have hands-on experience with Informatica IICS, AWS Redshift, Python scripting, and Unix/Linux systems. You will be responsible for building and maintaining scalable ETL pipelines to support business intelligence and analytics needs. A strong passion for continuous learning, problem-solving, and enabling data-driven decision-making is highly valued.
Primary Skills: Informatica IICS,AWS
Secondary Skills: Python,Unix/Linux
Role Description: We are looking for a Senior Data Engineer to lead the design, development, and management of scalable data platforms and pipelines. This role demands a strong technical foundation in data architecture, big data technologies, and database systems (both SQL and NoSQL), along with the ability to work across functional teams to deliver robust, secure, and high-performing data solutions.
Role Responsibility:
• Design, develop, and maintain end-to end data pipelines and infrastructure.
• Translate business and functional requirements into scalable, well documented technical solutions.
• Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations.
• Ensure data integrity and quality through automated validations, unit testing, and robust documentation.
• Optimize data processing performance and manage large datasets efficiently
• Collaborate closely with stakeholders and project teams to align data solutions with business objectives.
• Implement and maintain security and privacy protocols to ensure safe data handling.
• Lead development environment setup and configuration of tools and services.
• Mentor junior data engineers and contribute to continuous improvement and automation initiatives.
• Coordinate with QA and UAT teams during testing and release phases.
Role Requirement:
• Strong proficiency in SQL (including procedures, performance tuning, and analytical functions).
• Solid understanding of data warehousing concepts, including dimensional modeling and SCDs.
• Hands-on experience with scripting languages (Shell / PowerShell).
• Familiarity with Cloud and Big data technologies.
• Experience working with relational, non-relational databases, and data streaming systems.
• Proficiency in data profiling, validation, and testing practices.
• Excellent problem-solving, communication (written and verbal), and documentation skills.
• Exposure to Agile methodologies and CI/CD practices.
• Self-motivated, adaptable, and capable of working in a fast-paced environment.
Additional Requirements
Overall 5 years and 3+ years of hands-on experience with Informatica IICS (Cloud Data Integration, Application Integration).
Strong proficiency in AWS Redshift and writing complex SQL queries.
Solid programming experience in Python for scripting, data wrangling, and automation.
Experience with version control tools like Git and CI/CD workflows.
Knowledge of data modeling and data warehousing concepts.
Prior experience with data lakes and big data technologies is a plus.
